Dna X (SONM) Net Margin (2018 - 2025)
Dna X's Net Margin was 7.28% in FY2026.
Analysis
Dna X (SONM) Net Margin (2018 - 2025) Analysis & Trends
From FY2018 onward, Dna X has reported Net Margin for 8 years.
- Net Margin shows a five-year change of +78.06 percentage points (FY2021 to FY2026).
- The FY2026 figure marks the highest annual Net Margin in data going back to FY2018.
- Per Business Quant data, Net Margin in earlier years was -57.72% in FY2024 (-57.62 pp), -0.10% in FY2023 (+20.08 pp) and -20.17% in FY2022 (+50.61 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 42.89% |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 29.93% |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 61.06% |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 26.53% |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 20.02% |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 25.35% |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 16.46% |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 58.35% |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 24.38% |
| 10 | Dna X | 6.47 Mn | 938,965.66 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -29.31% |
| Jun 30, 2025 | -66.80% |
| Mar 31, 2025 | 2.74% |
| Dec 31, 2024 | -144.25% |
| Sep 30, 2024 | -16.72% |
| Jun 30, 2024 | -57.45% |
| Mar 31, 2024 | -17.32% |
| Dec 31, 2023 | -10.07% |
| Sep 30, 2023 | 1.91% |
| Jun 30, 2023 | 1.90% |
| Mar 31, 2023 | 0.88% |
| Dec 31, 2022 | -4.32% |
| Sep 30, 2022 | -7.85% |
| Jun 30, 2022 | -35.34% |
| Mar 31, 2022 | -54.40% |
| Dec 31, 2021 | -73.58% |
| Sep 30, 2021 | -75.73% |
| Jun 30, 2021 | -55.93% |
| Mar 31, 2021 | -75.82% |
| Dec 31, 2020 | -40.47% |
API Access
Dna X Net Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=net-margin&ticker=SONM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "SONM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();